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炼化企业智能工厂运营数据仓库的框架与实现

THE FRAMEWORK AND IMPLEMENTATION OF INTELLIGENT FACTORY OPERATION DATA WAREHOUSE IN REFINING AND CHEMICAL ENTERPRISES

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随着炼化企业智能工程的不断深入推进,信息化建设已成为提升企业竞争力、优化生产流程、提高管理效率的关键手段.然而在多年的信息化建设过程中,由于在早期摸索的过程中缺乏统一规划和标准,造成数据分散、质量低、安全性差等问题.通过炼化企业运营数据仓库(ODS)系统的构建,能够解决多个系统之间数据共享的问题,提高数据质量,保证数据安全性,支撑企业级的数据分析应用.在数据仓库理论的基础上,以ODS系统建设为背景,对数据仓库的框架与关键技术进行研究.
With the continuous advancement of intelligent engineering in refining and chem-ical enterprises,information construction has become a key means to enhance the competitive-ness of enterprises,optimize the production process and improve management efficiency.How-ever,in the process of informatization construction for many years,due to the lack of unified planning and standards in the early exploration process,problems such as data dispersion,low quality,and poor security have arisen.Through the construction of operational data warehouse(ODS)system in refining and chemical enterprises,the problem of data sharing between multi-ple systems can be solved,data quality can be improved,data security can be guaranteed,and data analysis applications can be supported at enterprise level.On the basis of data warehouse theory and the background of ODS system construction,the framework and key technologies of data warehouse are studied.

intelligent factorycentralized integrationdata warehousechange data cap-turedata warehouse technology

黄媛媛

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中国石化九江分公司信息中心,江西九江 332000

智能工厂 集中集成 数据仓库 变化数据捕捉

2024

齐鲁石油化工
齐鲁石油化工公司研究院

齐鲁石油化工

影响因子:0.259
ISSN:1009-9859
年,卷(期):2024.52(4)